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Adaptive Scheduling of Smart Home Appliances Using Fuzzy Goal Programming

Authors:
Honggang Bu
Kendall Nygard

Keywords: Smart Grid;Dynamic Pricing;Adaptive Systems;Optimization

Abstract:
A smart electrical grid is highly instrumented and can be intelligently controlled. We describe a smart grid study in which we assume that utilities dynamically price electrical power to help regulate supply and demand balance, and that consumers have the ability to intelligently schedule times for the operation of their home appliances in response to prices. We present a mixed integer linear fuzzy goal programming with priorities imposed on different appliances. The goal programming formulation allows time preference constraints to be elastic rather than rigid. Another important feature of the model is flexibility of time slot delays for pairs of appliances for which the operation of one must follow the other (a washer/dryer pair for example). Numerical experimental results based on real spot prices for electricity are presented. In addition, computational time and the influence of time slot lengths and priorities are discussed.

Pages: 129 to 135

Copyright: Copyright (c) IARIA, 2014

Publication date: May 25, 2014

Published in: conference

ISSN: 2308-4146

ISBN: 978-1-61208-341-4

Location: Venice, Italy

Dates: from May 25, 2014 to May 29, 2014